System Design Master Template_II - rnakidi/dsa GitHub Wiki

1 mega-template to solve any problem:

Approaching system design problems can be harder than coding problems.

For one reason: ambiguity.

13 concepts to use when solving a system design problem:

  1. Load Balancer:

A load balancer efficiently distributes incoming network traffic across multiple servers to ensure no single server bears too much load.

  1. API Gateway:

An API Gateway acts as a single entry point for all client requests, providing a unified interface to various microservices.

  1. Cache:

Caching stores recently accessed data for speedy retrieval, reducing the load on databases and improving response times.

  1. CDN:

A Content Delivery Network (CDN) stores static content closer to users to minimize latency and speed up content delivery.

  1. Distributed File Storage:

Distributed file storage ensures data is redundantly stored across multiple locations for fault tolerance and easy access.

  1. Search Index:

Using a search index like Elasticsearch allows for scalable and fast search capabilities across large datasets.

  1. Notification Service:

A notification service handles the delivery of messages or alerts to users across different platforms and devices.

  1. Data Processing Systems:

Data processing systems like Hadoop and Spark analyze large volumes of data, enabling scalable and complex computational operations.

  1. Distributed Scheduler:

A distributed scheduler orchestrates and manages the execution of distributed tasks across various computing resources.

  1. Metadata Server:

The metadata server stores information about the structure of data, enabling efficient access and management.

  1. Block Server:

Block servers manage the storage blocks in distributed file systems, which helps in data replication and retrieval.

  1. Distributed Logging:

Distributed logging collects logs from various services in a centralized manner for monitoring and troubleshooting.

  1. Replication and Partitioning:

Replication ensures data availability and durability, while partitioning helps in scaling databases by distributing data across different nodes.

Reference (aff.):

🔥 Grokking the system design interview: https://lnkd.in/dcMM8sZM

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Source/Credit: https://www.linkedin.com/posts/alexandre-zajac_solving-system-design-problems-is-hard-activity-7287733237127245825-_oUj?utm_source=share&utm_medium=member_desktop